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A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images

  • Miguel VegaEmail author
  • Rafael Molina
  • Aggelos K Katsaggelos
Open Access
Research Article
Part of the following topical collections:
  1. Super-Resolution Imaging: Analysis, Algorithms, and Applications

Abstract

Most of the available digital color cameras use a single image sensor with a color filter array (CFA) in acquiring an image. In order to produce a visible color image, a demosaicing process must be applied, which produces undesirable artifacts. An additional problem appears when the observed color image is also blurred. This paper addresses the problem of deconvolving color images observed with a single coupled charged device (CCD) from the super-resolution point of view. Utilizing the Bayesian paradigm, an estimate of the reconstructed image and the model parameters is generated. The proposed method is tested on real images.

Keywords

Reconstructed Image Quantum Information Color Image Couple Charged Device Single Image 

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Copyright information

© Vega et al. 2006

Authors and Affiliations

  • Miguel Vega
    • 1
    Email author
  • Rafael Molina
    • 2
  • Aggelos K Katsaggelos
    • 3
  1. 1.Departamento de Lenguajes y Sistemas Informáticos, Escuela Técnica Superior de Ingeniería InfomáticaUniversidad de GranadaGranadaSpain
  2. 2.Departamento de Ciencias de la Computación e Inteligencia Artificial, Escuela Técnica Superior de Ingeniería InfomáticaUniversidad de GranadaGranadaSpain
  3. 3.Department of Electrical Engineering and Computer Science, Robert R. McCormick School of Engineering and Applied ScienceNorthwestern UniversityEvanstonUSA

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